{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제53_노인_지난선거_정책\data\code_analysis_2_original_survey.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}20 May 2025, 20:20:42

{com}. encode region, gen( region_1)

. 
. xtile income_quintile = income, nq(5)

. logit presidential_election_preoutcome liberal_votes age sex education income_quintile homeownership work_status intention_to_vote i.living i.religion i.region_1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-691.99474}  
Iteration 1:{space 3}log likelihood = {res:-462.23567}  
Iteration 2:{space 3}log likelihood = {res:-460.29829}  
Iteration 3:{space 3}log likelihood = {res:-460.29726}  
Iteration 4:{space 3}log likelihood = {res:-460.29726}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 49}LR chi2({res}21{txt}){col 67}= {res}    463.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-460.29726{txt}{col 49}Pseudo R2{col 67}= {res}    0.3348

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}presidential_election_preoutcome{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      z{col 66}   P>|z|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}liberal_votes {c |}{col 34}{res}{space 2} .4247006{col 46}{space 2} .0289053{col 57}{space 1}   14.69{col 66}{space 3}0.000{col 74}{space 4} .3680473{col 87}{space 3}  .481354
{txt}{space 29}age {c |}{col 34}{res}{space 2}-.0037355{col 46}{space 2} .0213404{col 57}{space 1}   -0.18{col 66}{space 3}0.861{col 74}{space 4}-.0455619{col 87}{space 3} .0380909
{txt}{space 29}sex {c |}{col 34}{res}{space 2}-.0158454{col 46}{space 2}  .165805{col 57}{space 1}   -0.10{col 66}{space 3}0.924{col 74}{space 4}-.3408173{col 87}{space 3} .3091265
{txt}{space 23}education {c |}{col 34}{res}{space 2}  .005162{col 46}{space 2} .0802348{col 57}{space 1}    0.06{col 66}{space 3}0.949{col 74}{space 4}-.1520953{col 87}{space 3} .1624192
{txt}{space 17}income_quintile {c |}{col 34}{res}{space 2}-.4537102{col 46}{space 2} .0622662{col 57}{space 1}   -7.29{col 66}{space 3}0.000{col 74}{space 4}-.5757496{col 87}{space 3}-.3316707
{txt}{space 19}homeownership {c |}{col 34}{res}{space 2} -1.06933{col 46}{space 2} .1687432{col 57}{space 1}   -6.34{col 66}{space 3}0.000{col 74}{space 4} -1.40006{col 87}{space 3}-.7385994
{txt}{space 21}work_status {c |}{col 34}{res}{space 2} .1361219{col 46}{space 2} .1751245{col 57}{space 1}    0.78{col 66}{space 3}0.437{col 74}{space 4}-.2071158{col 87}{space 3} .4793596
{txt}{space 15}intention_to_vote {c |}{col 34}{res}{space 2}-1.193038{col 46}{space 2} .3655083{col 57}{space 1}   -3.26{col 66}{space 3}0.001{col 74}{space 4}-1.909421{col 87}{space 3}-.4766551
{txt}{space 32} {c |}
{space 26}living {c |}
{space 30}2  {c |}{col 34}{res}{space 2} .0471525{col 46}{space 2} .2031945{col 57}{space 1}    0.23{col 66}{space 3}0.816{col 74}{space 4}-.3511013{col 87}{space 3} .4454064
{txt}{space 30}3  {c |}{col 34}{res}{space 2} .1072325{col 46}{space 2} .2096532{col 57}{space 1}    0.51{col 66}{space 3}0.609{col 74}{space 4}-.3036801{col 87}{space 3} .5181452
{txt}{space 32} {c |}
{space 24}religion {c |}
{space 30}1  {c |}{col 34}{res}{space 2}  .007215{col 46}{space 2} .2294093{col 57}{space 1}    0.03{col 66}{space 3}0.975{col 74}{space 4}-.4424189{col 87}{space 3} .4568489
{txt}{space 30}2  {c |}{col 34}{res}{space 2}  .455239{col 46}{space 2} .2485851{col 57}{space 1}    1.83{col 66}{space 3}0.067{col 74}{space 4}-.0319789{col 87}{space 3} .9424569
{txt}{space 30}3  {c |}{col 34}{res}{space 2} .1237202{col 46}{space 2} .2307208{col 57}{space 1}    0.54{col 66}{space 3}0.592{col 74}{space 4}-.3284842{col 87}{space 3} .5759246
{txt}{space 30}4  {c |}{col 34}{res}{space 2} .4630488{col 46}{space 2} .4219518{col 57}{space 1}    1.10{col 66}{space 3}0.272{col 74}{space 4}-.3639615{col 87}{space 3} 1.290059
{txt}{space 32} {c |}
{space 24}region_1 {c |}
{space 17}Chungcheongnam  {c |}{col 34}{res}{space 2}  .223518{col 46}{space 2} .3459001{col 57}{space 1}    0.65{col 66}{space 3}0.518{col 74}{space 4}-.4544337{col 87}{space 3} .9014698
{txt}{space 26}Daegu  {c |}{col 34}{res}{space 2} .1698613{col 46}{space 2} .3402082{col 57}{space 1}    0.50{col 66}{space 3}0.618{col 74}{space 4}-.4969344{col 87}{space 3} .8366571
{txt}{space 24}Gwangju  {c |}{col 34}{res}{space 2} .2498535{col 46}{space 2} .3318888{col 57}{space 1}    0.75{col 66}{space 3}0.452{col 74}{space 4}-.4006366{col 87}{space 3} .9003437
{txt}{space 18}Gyeongsangbuk  {c |}{col 34}{res}{space 2} .0878685{col 46}{space 2} .3439694{col 57}{space 1}    0.26{col 66}{space 3}0.798{col 74}{space 4}-.5862991{col 87}{space 3} .7620361
{txt}{space 24}Gyonggi  {c |}{col 34}{res}{space 2} .5656845{col 46}{space 2} .3356492{col 57}{space 1}    1.69{col 66}{space 3}0.092{col 74}{space 4}-.0921758{col 87}{space 3} 1.223545
{txt}{space 22}Jeollanam  {c |}{col 34}{res}{space 2} -.043486{col 46}{space 2} .3451172{col 57}{space 1}   -0.13{col 66}{space 3}0.900{col 74}{space 4}-.7199033{col 87}{space 3} .6329313
{txt}{space 26}Seoul  {c |}{col 34}{res}{space 2} .2784385{col 46}{space 2} .3422078{col 57}{space 1}    0.81{col 66}{space 3}0.416{col 74}{space 4}-.3922765{col 87}{space 3} .9491535
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 1.748867{col 46}{space 2} 1.691527{col 57}{space 1}    1.03{col 66}{space 3}0.301{col 74}{space 4}-1.566466{col 87}{space 3}   5.0642
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_1

. 
. 
. 
. logit presidential_election_preoutcome welfare_for_aged hard_on_north_korea age sex education income_quintile homeownership work_status intention_to_vote i.living i.religion i.region_1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-691.99474}  
Iteration 1:{space 3}log likelihood = {res:-590.25657}  
Iteration 2:{space 3}log likelihood = {res:-590.07918}  
Iteration 3:{space 3}log likelihood = {res:-590.07912}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 49}LR chi2({res}22{txt}){col 67}= {res}    203.83
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-590.07912{txt}{col 49}Pseudo R2{col 67}= {res}    0.1473

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}presidential_election_preoutcome{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      z{col 66}   P>|z|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}welfare_for_aged {c |}{col 34}{res}{space 2} .1742598{col 46}{space 2}  .113542{col 57}{space 1}    1.53{col 66}{space 3}0.125{col 74}{space 4}-.0482784{col 87}{space 3}  .396798
{txt}{space 13}hard_on_north_korea {c |}{col 34}{res}{space 2}-.1134896{col 46}{space 2} .1139229{col 57}{space 1}   -1.00{col 66}{space 3}0.319{col 74}{space 4}-.3367745{col 87}{space 3} .1097952
{txt}{space 29}age {c |}{col 34}{res}{space 2}-.0065249{col 46}{space 2} .0181224{col 57}{space 1}   -0.36{col 66}{space 3}0.719{col 74}{space 4}-.0420441{col 87}{space 3} .0289944
{txt}{space 29}sex {c |}{col 34}{res}{space 2} .0671318{col 46}{space 2}  .141835{col 57}{space 1}    0.47{col 66}{space 3}0.636{col 74}{space 4}-.2108596{col 87}{space 3} .3451232
{txt}{space 23}education {c |}{col 34}{res}{space 2} .0119403{col 46}{space 2} .0689866{col 57}{space 1}    0.17{col 66}{space 3}0.863{col 74}{space 4}-.1232711{col 87}{space 3} .1471516
{txt}{space 17}income_quintile {c |}{col 34}{res}{space 2}-.5066277{col 46}{space 2}  .053061{col 57}{space 1}   -9.55{col 66}{space 3}0.000{col 74}{space 4}-.6106254{col 87}{space 3}-.4026301
{txt}{space 19}homeownership {c |}{col 34}{res}{space 2}-1.174684{col 46}{space 2} .1438895{col 57}{space 1}   -8.16{col 66}{space 3}0.000{col 74}{space 4}-1.456702{col 87}{space 3}-.8926656
{txt}{space 21}work_status {c |}{col 34}{res}{space 2} .2245715{col 46}{space 2} .1500462{col 57}{space 1}    1.50{col 66}{space 3}0.134{col 74}{space 4}-.0695138{col 87}{space 3} .5186567
{txt}{space 15}intention_to_vote {c |}{col 34}{res}{space 2}-.8477587{col 46}{space 2} .3301992{col 57}{space 1}   -2.57{col 66}{space 3}0.010{col 74}{space 4}-1.494937{col 87}{space 3}-.2005801
{txt}{space 32} {c |}
{space 26}living {c |}
{space 30}2  {c |}{col 34}{res}{space 2} .1210507{col 46}{space 2} .1743836{col 57}{space 1}    0.69{col 66}{space 3}0.488{col 74}{space 4}-.2207349{col 87}{space 3} .4628362
{txt}{space 30}3  {c |}{col 34}{res}{space 2} .1094418{col 46}{space 2}  .178226{col 57}{space 1}    0.61{col 66}{space 3}0.539{col 74}{space 4}-.2398748{col 87}{space 3} .4587583
{txt}{space 32} {c |}
{space 24}religion {c |}
{space 30}1  {c |}{col 34}{res}{space 2} .0283003{col 46}{space 2} .1945205{col 57}{space 1}    0.15{col 66}{space 3}0.884{col 74}{space 4}-.3529528{col 87}{space 3} .4095534
{txt}{space 30}2  {c |}{col 34}{res}{space 2} .2748951{col 46}{space 2} .2129128{col 57}{space 1}    1.29{col 66}{space 3}0.197{col 74}{space 4}-.1424064{col 87}{space 3} .6921966
{txt}{space 30}3  {c |}{col 34}{res}{space 2} .0871715{col 46}{space 2} .1947902{col 57}{space 1}    0.45{col 66}{space 3}0.655{col 74}{space 4}-.2946102{col 87}{space 3} .4689531
{txt}{space 30}4  {c |}{col 34}{res}{space 2} .4659716{col 46}{space 2} .3653003{col 57}{space 1}    1.28{col 66}{space 3}0.202{col 74}{space 4}-.2500039{col 87}{space 3} 1.181947
{txt}{space 32} {c |}
{space 24}region_1 {c |}
{space 17}Chungcheongnam  {c |}{col 34}{res}{space 2} .0112073{col 46}{space 2} .2903849{col 57}{space 1}    0.04{col 66}{space 3}0.969{col 74}{space 4}-.5579367{col 87}{space 3} .5803513
{txt}{space 26}Daegu  {c |}{col 34}{res}{space 2} .1806061{col 46}{space 2}  .287396{col 57}{space 1}    0.63{col 66}{space 3}0.530{col 74}{space 4}-.3826797{col 87}{space 3} .7438918
{txt}{space 24}Gwangju  {c |}{col 34}{res}{space 2}-.0389322{col 46}{space 2} .2830018{col 57}{space 1}   -0.14{col 66}{space 3}0.891{col 74}{space 4}-.5936055{col 87}{space 3} .5157411
{txt}{space 18}Gyeongsangbuk  {c |}{col 34}{res}{space 2}-.1280513{col 46}{space 2} .2914498{col 57}{space 1}   -0.44{col 66}{space 3}0.660{col 74}{space 4}-.6992824{col 87}{space 3} .4431797
{txt}{space 24}Gyonggi  {c |}{col 34}{res}{space 2} .1691347{col 46}{space 2} .2832032{col 57}{space 1}    0.60{col 66}{space 3}0.550{col 74}{space 4}-.3859333{col 87}{space 3} .7242027
{txt}{space 22}Jeollanam  {c |}{col 34}{res}{space 2}-.1720646{col 46}{space 2} .2889911{col 57}{space 1}   -0.60{col 66}{space 3}0.552{col 74}{space 4}-.7384767{col 87}{space 3} .3943475
{txt}{space 26}Seoul  {c |}{col 34}{res}{space 2}-.0410725{col 46}{space 2} .2857503{col 57}{space 1}   -0.14{col 66}{space 3}0.886{col 74}{space 4}-.6011327{col 87}{space 3} .5189877
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 2.778921{col 46}{space 2} 1.475985{col 57}{space 1}    1.88{col 66}{space 3}0.060{col 74}{space 4}-.1139567{col 87}{space 3}   5.6718
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_2

. 
. 
. 
. logit presidential_election_postoutcom c.liberal_votes##i.treatment_welfare age sex education income_quintile homeownership work_status intention_to_vote i.living i.religion i.region_1

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -690.8334}  
Iteration 1:{space 3}log likelihood = {res:-410.48089}  
Iteration 2:{space 3}log likelihood = {res:-406.26152}  
Iteration 3:{space 3}log likelihood = {res:-406.23138}  
Iteration 4:{space 3}log likelihood = {res:-406.23137}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 49}LR chi2({res}23{txt}){col 67}= {res}    569.20
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-406.23137{txt}{col 49}Pseudo R2{col 67}= {res}    0.4120

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} presidential_election_postoutcom{col 35}{c |}      Coef.{col 47}   Std. Err.{col 59}      z{col 67}   P>|z|{col 75}     [95% Con{col 88}f. Interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}liberal_votes {c |}{col 35}{res}{space 2}  .467851{col 47}{space 2} .0423345{col 58}{space 1}   11.05{col 67}{space 3}0.000{col 75}{space 4} .3848769{col 88}{space 3} .5508251
{txt}{space 14}1.treatment_welfare {c |}{col 35}{res}{space 2}-.1149511{col 47}{space 2} .2315003{col 58}{space 1}   -0.50{col 67}{space 3}0.620{col 75}{space 4}-.5686833{col 88}{space 3} .3387811
{txt}{space 33} {c |}
treatment_welfare#c.liberal_votes {c |}
{space 31}1  {c |}{col 35}{res}{space 2} .0560715{col 47}{space 2} .0615081{col 58}{space 1}    0.91{col 67}{space 3}0.362{col 75}{space 4}-.0644822{col 88}{space 3} .1766252
{txt}{space 33} {c |}
{space 30}age {c |}{col 35}{res}{space 2} .0216916{col 47}{space 2} .0228638{col 58}{space 1}    0.95{col 67}{space 3}0.343{col 75}{space 4}-.0231207{col 88}{space 3} .0665038
{txt}{space 30}sex {c |}{col 35}{res}{space 2}-.0424829{col 47}{space 2} .1790006{col 58}{space 1}   -0.24{col 67}{space 3}0.812{col 75}{space 4}-.3933177{col 88}{space 3} .3083519
{txt}{space 24}education {c |}{col 35}{res}{space 2} .0340284{col 47}{space 2} .0860178{col 58}{space 1}    0.40{col 67}{space 3}0.692{col 75}{space 4}-.1345635{col 88}{space 3} .2026202
{txt}{space 18}income_quintile {c |}{col 35}{res}{space 2}-.5682089{col 47}{space 2} .0685516{col 58}{space 1}   -8.29{col 67}{space 3}0.000{col 75}{space 4}-.7025677{col 88}{space 3}-.4338502
{txt}{space 20}homeownership {c |}{col 35}{res}{space 2}-1.380572{col 47}{space 2} .1832183{col 58}{space 1}   -7.54{col 67}{space 3}0.000{col 75}{space 4}-1.739674{col 88}{space 3}-1.021471
{txt}{space 22}work_status {c |}{col 35}{res}{space 2} .0968276{col 47}{space 2} .1886082{col 58}{space 1}    0.51{col 67}{space 3}0.608{col 75}{space 4}-.2728376{col 88}{space 3} .4664928
{txt}{space 16}intention_to_vote {c |}{col 35}{res}{space 2}-.0186697{col 47}{space 2} .4104965{col 58}{space 1}   -0.05{col 67}{space 3}0.964{col 75}{space 4} -.823228{col 88}{space 3} .7858886
{txt}{space 33} {c |}
{space 27}living {c |}
{space 31}2  {c |}{col 35}{res}{space 2} .0545435{col 47}{space 2} .2192844{col 58}{space 1}    0.25{col 67}{space 3}0.804{col 75}{space 4} -.375246{col 88}{space 3} .4843329
{txt}{space 31}3  {c |}{col 35}{res}{space 2} .1213232{col 47}{space 2} .2272121{col 58}{space 1}    0.53{col 67}{space 3}0.593{col 75}{space 4}-.3240043{col 88}{space 3} .5666507
{txt}{space 33} {c |}
{space 25}religion {c |}
{space 31}1  {c |}{col 35}{res}{space 2}-.1431125{col 47}{space 2} .2484349{col 58}{space 1}   -0.58{col 67}{space 3}0.565{col 75}{space 4}-.6300359{col 88}{space 3}  .343811
{txt}{space 31}2  {c |}{col 35}{res}{space 2} .4375947{col 47}{space 2} .2658481{col 58}{space 1}    1.65{col 67}{space 3}0.100{col 75}{space 4}-.0834579{col 88}{space 3} .9586474
{txt}{space 31}3  {c |}{col 35}{res}{space 2} .0310073{col 47}{space 2} .2498091{col 58}{space 1}    0.12{col 67}{space 3}0.901{col 75}{space 4}-.4586095{col 88}{space 3} .5206241
{txt}{space 31}4  {c |}{col 35}{res}{space 2} .1195046{col 47}{space 2} .4460082{col 58}{space 1}    0.27{col 67}{space 3}0.789{col 75}{space 4}-.7546553{col 88}{space 3} .9936645
{txt}{space 33} {c |}
{space 25}region_1 {c |}
{space 18}Chungcheongnam  {c |}{col 35}{res}{space 2} .0266255{col 47}{space 2} .3739673{col 58}{space 1}    0.07{col 67}{space 3}0.943{col 75}{space 4}-.7063369{col 88}{space 3} .7595879
{txt}{space 27}Daegu  {c |}{col 35}{res}{space 2} .2707386{col 47}{space 2} .3653145{col 58}{space 1}    0.74{col 67}{space 3}0.459{col 75}{space 4}-.4452646{col 88}{space 3} .9867418
{txt}{space 25}Gwangju  {c |}{col 35}{res}{space 2} .1205119{col 47}{space 2} .3570825{col 58}{space 1}    0.34{col 67}{space 3}0.736{col 75}{space 4} -.579357{col 88}{space 3} .8203808
{txt}{space 19}Gyeongsangbuk  {c |}{col 35}{res}{space 2} .3477863{col 47}{space 2} .3684775{col 58}{space 1}    0.94{col 67}{space 3}0.345{col 75}{space 4}-.3744163{col 88}{space 3} 1.069989
{txt}{space 25}Gyonggi  {c |}{col 35}{res}{space 2} .4234231{col 47}{space 2} .3627976{col 58}{space 1}    1.17{col 67}{space 3}0.243{col 75}{space 4}-.2876472{col 88}{space 3} 1.134493
{txt}{space 23}Jeollanam  {c |}{col 35}{res}{space 2}-.3361671{col 47}{space 2} .3702899{col 58}{space 1}   -0.91{col 67}{space 3}0.364{col 75}{space 4}-1.061922{col 88}{space 3} .3895878
{txt}{space 27}Seoul  {c |}{col 35}{res}{space 2} .1669572{col 47}{space 2} .3716989{col 58}{space 1}    0.45{col 67}{space 3}0.653{col 75}{space 4}-.5615593{col 88}{space 3} .8954737
{txt}{space 33} {c |}
{space 28}_cons {c |}{col 35}{res}{space 2}-.8655164{col 47}{space 2}  1.83788{col 58}{space 1}   -0.47{col 67}{space 3}0.638{col 75}{space 4}-4.467696{col 88}{space 3} 2.736663
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_3

. 
. 
. 
. logit presidential_election_postoutcom c.liberal_votes##i.treatment_northkorea age sex education income_quintile homeownership work_status intention_to_vote i.living i.religion i.region_1

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -690.8334}  
Iteration 1:{space 3}log likelihood = {res:-410.48089}  
Iteration 2:{space 3}log likelihood = {res:-406.26152}  
Iteration 3:{space 3}log likelihood = {res:-406.23138}  
Iteration 4:{space 3}log likelihood = {res:-406.23137}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 49}LR chi2({res}23{txt}){col 67}= {res}    569.20
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-406.23137{txt}{col 49}Pseudo R2{col 67}= {res}    0.4120

{txt}{hline 37}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    presidential_election_postoutcom{col 38}{c |}      Coef.{col 50}   Std. Err.{col 62}      z{col 70}   P>|z|{col 78}     [95% Con{col 91}f. Interval]
{hline 37}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}liberal_votes {c |}{col 38}{res}{space 2} .5239225{col 50}{space 2} .0464033{col 61}{space 1}   11.29{col 70}{space 3}0.000{col 78}{space 4} .4329737{col 91}{space 3} .6148712
{txt}{space 14}1.treatment_northkorea {c |}{col 38}{res}{space 2} .1149511{col 50}{space 2} .2315003{col 61}{space 1}    0.50{col 70}{space 3}0.620{col 78}{space 4}-.3387811{col 91}{space 3} .5686833
{txt}{space 36} {c |}
treatment_northkorea#c.liberal_votes {c |}
{space 34}1  {c |}{col 38}{res}{space 2}-.0560715{col 50}{space 2} .0615081{col 61}{space 1}   -0.91{col 70}{space 3}0.362{col 78}{space 4}-.1766252{col 91}{space 3} .0644822
{txt}{space 36} {c |}
{space 33}age {c |}{col 38}{res}{space 2} .0216916{col 50}{space 2} .0228638{col 61}{space 1}    0.95{col 70}{space 3}0.343{col 78}{space 4}-.0231207{col 91}{space 3} .0665038
{txt}{space 33}sex {c |}{col 38}{res}{space 2}-.0424829{col 50}{space 2} .1790006{col 61}{space 1}   -0.24{col 70}{space 3}0.812{col 78}{space 4}-.3933177{col 91}{space 3} .3083519
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{txt}{space 25}work_status {c |}{col 38}{res}{space 2} .0968276{col 50}{space 2} .1886082{col 61}{space 1}    0.51{col 70}{space 3}0.608{col 78}{space 4}-.2728376{col 91}{space 3} .4664928
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{txt}{space 36} {c |}
{space 30}living {c |}
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{txt}{space 36} {c |}
{space 28}religion {c |}
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{txt}{space 36} {c |}
{space 28}region_1 {c |}
{space 21}Chungcheongnam  {c |}{col 38}{res}{space 2} .0266255{col 50}{space 2} .3739673{col 61}{space 1}    0.07{col 70}{space 3}0.943{col 78}{space 4}-.7063369{col 91}{space 3} .7595879
{txt}{space 30}Daegu  {c |}{col 38}{res}{space 2} .2707386{col 50}{space 2} .3653145{col 61}{space 1}    0.74{col 70}{space 3}0.459{col 78}{space 4}-.4452646{col 91}{space 3} .9867418
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{txt}{space 26}Jeollanam  {c |}{col 38}{res}{space 2}-.3361671{col 50}{space 2} .3702899{col 61}{space 1}   -0.91{col 70}{space 3}0.364{col 78}{space 4}-1.061922{col 91}{space 3} .3895878
{txt}{space 30}Seoul  {c |}{col 38}{res}{space 2} .1669572{col 50}{space 2} .3716989{col 61}{space 1}    0.45{col 70}{space 3}0.653{col 78}{space 4}-.5615593{col 91}{space 3} .8954737
{txt}{space 36} {c |}
{space 31}_cons {c |}{col 38}{res}{space 2}-.9804675{col 50}{space 2} 1.836981{col 61}{space 1}   -0.53{col 70}{space 3}0.594{col 78}{space 4}-4.580884{col 91}{space 3}  2.61995
{txt}{hline 37}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_4

. 
. 
. 
. coefplot (model_1), bylabel ((a) DV: Pre-treatment outcome) || (model_2), bylabel ((b) DV: Pre-treatment outcome) || (model_3), bylabel ((c) DV: Post-treatment outcome) || (model_4), bylabel ((d) DV: Post-treatment outcome) ||, eform omitted xline(1, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2))  keep( liberal_votes ||  welfare_for_aged || hard_on_north_korea || 1.treatment_welfare#c.liberal_votes || 1.treatment_northkorea#c.liberal_votes || 1.treatment_welfare || 1.treatment_northkorea || liberal_votes || )
{res}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제53_노인_지난선거_정책\data\code_analysis_2_original_survey.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}20 May 2025, 20:21:00
{txt}{.-}
{smcl}
{txt}{sf}{ul off}